code: def _get_train_test_pool(dataset):
      train_path, test_path, cd_path = _get_train_test_cd_path(dataset)
      train_pool = Pool(train_path, column_description=cd_path)
      test_pool = Pool(test_path, column_description=cd_path)
      return (train_pool, test_pool)
  
file_path: catboost/catboost/libs/model/model_export/ut/test.py
imports: import numpy
  import os
  import pytest
  import re
  import yatest
  from catboost import Pool, CatBoost, CatBoostClassifier
  from catboost_pytest_lib import data_file, load_pool_features_as_df
label_desc: Use image node_id 2 for calling a global function with example usage: _get_train_test_pool(dataset) and returns: train_pool,  test_pool